{
    "description": "Github Docs QnA using Retrieval Augmented Generation (RAG)",
    "usecases": ["Documents QnA"],
    "framework": ["Langchain"],
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            "width": 300,
            "height": 378,
            "id": "markdownTextSplitter_0",
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                "type": "MarkdownTextSplitter",
                "baseClasses": ["MarkdownTextSplitter", "RecursiveCharacterTextSplitter", "TextSplitter", "BaseDocumentTransformer"],
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                "description": "Split your content into documents based on the Markdown headers",
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                        "label": "Chunk Size",
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                        "default": 1000,
                        "optional": true,
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                        "label": "Chunk Overlap",
                        "name": "chunkOverlap",
                        "type": "number",
                        "optional": true,
                        "id": "markdownTextSplitter_0-input-chunkOverlap-number"
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                ],
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                "inputs": {
                    "chunkSize": "4000",
                    "chunkOverlap": ""
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                        "id": "markdownTextSplitter_0-output-markdownTextSplitter-MarkdownTextSplitter|RecursiveCharacterTextSplitter|TextSplitter|BaseDocumentTransformer",
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                        "label": "MarkdownTextSplitter",
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                "name": "memoryVectorStore",
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                "baseClasses": ["Memory", "VectorStoreRetriever", "BaseRetriever"],
                "category": "Vector Stores",
                "description": "In-memory vectorstore that stores embeddings and does an exact, linear search for the most similar embeddings.",
                "inputParams": [
                    {
                        "label": "Top K",
                        "name": "topK",
                        "description": "Number of top results to fetch. Default to 4",
                        "placeholder": "4",
                        "type": "number",
                        "optional": true,
                        "id": "memoryVectorStore_0-input-topK-number"
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                ],
                "inputAnchors": [
                    {
                        "label": "Document",
                        "name": "document",
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                        "id": "memoryVectorStore_0-input-document-Document"
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                    {
                        "label": "Embeddings",
                        "name": "embeddings",
                        "type": "Embeddings",
                        "id": "memoryVectorStore_0-input-embeddings-Embeddings"
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                ],
                "inputs": {
                    "document": ["{{github_0.data.instance}}"],
                    "embeddings": "{{openAIEmbeddings_0.data.instance}}",
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                "outputAnchors": [
                    {
                        "name": "output",
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                        "options": [
                            {
                                "id": "memoryVectorStore_0-output-retriever-Memory|VectorStoreRetriever|BaseRetriever",
                                "name": "retriever",
                                "label": "Memory Retriever",
                                "type": "Memory | VectorStoreRetriever | BaseRetriever"
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                            {
                                "id": "memoryVectorStore_0-output-vectorStore-Memory|VectorStore",
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                                "label": "Memory Vector Store",
                                "type": "Memory | VectorStore"
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                        "default": "retriever"
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                "outputs": {
                    "output": "retriever"
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                "selected": false
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                        "id": "conversationalRetrievalQAChain_0-input-returnSourceDocuments-boolean"
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                        "name": "responsePrompt",
                        "type": "string",
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                        "additionalParams": true,
                        "optional": true,
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                        "name": "model",
                        "type": "BaseChatModel",
                        "id": "conversationalRetrievalQAChain_0-input-model-BaseChatModel"
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                    {
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                        "id": "conversationalRetrievalQAChain_0-input-vectorStoreRetriever-BaseRetriever"
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                        "label": "Memory",
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                        "type": "BaseMemory",
                        "optional": true,
                        "description": "If left empty, a default BufferMemory will be used",
                        "id": "conversationalRetrievalQAChain_0-input-memory-BaseMemory"
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                    {
                        "label": "Input Moderation",
                        "description": "Detect text that could generate harmful output and prevent it from being sent to the language model",
                        "name": "inputModeration",
                        "type": "Moderation",
                        "optional": true,
                        "list": true,
                        "id": "conversationalRetrievalQAChain_0-input-inputModeration-Moderation"
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                        "name": "credential",
                        "type": "credential",
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                    {
                        "label": "Repo Link",
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                        "label": "Max Concurrency",
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                        "additionalParams": true,
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                        "label": "Ignore Paths",
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                        "placeholder": "[\"*.md\"]",
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                        "label": "Max Retries",
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                        "type": "number",
                        "optional": true,
                        "additionalParams": true,
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                        "label": "Metadata",
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                        "additionalParams": true,
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                        "label": "Text Splitter",
                        "name": "textSplitter",
                        "type": "TextSplitter",
                        "optional": true,
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                    "recursive": true,
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                        "type": "Document"
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                "selected": false
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            "id": "chatOpenAI_0",
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                "label": "ChatOpenAI",
                "version": 6,
                "name": "chatOpenAI",
                "type": "ChatOpenAI",
                "baseClasses": ["ChatOpenAI", "BaseChatModel", "BaseLanguageModel"],
                "category": "Chat Models",
                "description": "Wrapper around OpenAI large language models that use the Chat endpoint",
                "inputParams": [
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                        "label": "Connect Credential",
                        "name": "credential",
                        "type": "credential",
                        "credentialNames": ["openAIApi"],
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                        "label": "Model Name",
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                        "loadMethod": "listModels",
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                        "label": "Temperature",
                        "name": "temperature",
                        "type": "number",
                        "default": 0.9,
                        "optional": true,
                        "id": "chatOpenAI_0-input-temperature-number"
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                    {
                        "label": "Max Tokens",
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                        "additionalParams": true,
                        "id": "chatOpenAI_0-input-maxTokens-number"
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                        "label": "Top Probability",
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                        "additionalParams": true,
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                        "label": "Frequency Penalty",
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                        "additionalParams": true,
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                        "label": "Presence Penalty",
                        "name": "presencePenalty",
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                        "additionalParams": true,
                        "id": "chatOpenAI_0-input-presencePenalty-number"
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                    {
                        "label": "Timeout",
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                        "additionalParams": true,
                        "id": "chatOpenAI_0-input-timeout-number"
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                        "additionalParams": true,
                        "id": "chatOpenAI_0-input-basepath-string"
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                        "additionalParams": true,
                        "id": "chatOpenAI_0-input-baseOptions-json"
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                        "label": "Allow Image Uploads",
                        "name": "allowImageUploads",
                        "type": "boolean",
                        "description": "Automatically uses gpt-4-vision-preview when image is being uploaded from chat. Only works with LLMChain, Conversation Chain, ReAct Agent, and Conversational Agent",
                        "default": false,
                        "optional": true,
                        "id": "chatOpenAI_0-input-allowImageUploads-boolean"
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                    {
                        "label": "Image Resolution",
                        "description": "This parameter controls the resolution in which the model views the image.",
                        "name": "imageResolution",
                        "type": "options",
                        "options": [
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                                "label": "Low",
                                "name": "low"
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                            {
                                "label": "High",
                                "name": "high"
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                            {
                                "label": "Auto",
                                "name": "auto"
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                        "default": "low",
                        "optional": false,
                        "additionalParams": true,
                        "id": "chatOpenAI_0-input-imageResolution-options"
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                        "label": "Cache",
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                        "type": "BaseCache",
                        "optional": true,
                        "id": "chatOpenAI_0-input-cache-BaseCache"
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                    "temperature": 0.9,
                    "maxTokens": "",
                    "topP": "",
                    "frequencyPenalty": "",
                    "presencePenalty": "",
                    "timeout": "",
                    "basepath": "",
                    "baseOptions": "",
                    "allowImageUploads": true,
                    "imageResolution": "low"
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                        "id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel",
                        "name": "chatOpenAI",
                        "label": "ChatOpenAI",
                        "type": "ChatOpenAI | BaseChatModel | BaseLanguageModel"
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            "width": 300,
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            "id": "openAIEmbeddings_0",
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                        "label": "Model Name",
                        "name": "modelName",
                        "type": "asyncOptions",
                        "loadMethod": "listModels",
                        "default": "text-embedding-ada-002",
                        "id": "openAIEmbeddings_0-input-modelName-asyncOptions"
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                        "label": "Strip New Lines",
                        "name": "stripNewLines",
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                        "id": "openAIEmbeddings_0-input-stripNewLines-boolean"
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                        "label": "Batch Size",
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